Teams

SOLANO TA/CENTENNIAL PRK 40MX7.0A

2025 MIXED 40&Over · 40&Over MX7.0

23 players · average NTRP 3.29 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for 40&Over MX7.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.25 estimated across 22 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.75
Mike Connerley
usually #2 Doubles 100% · published
3.59
JoAnn Clark
usually #3 Doubles 100% · published
3.55
Tracy Dennis
published
3.47
Ravindra Kumar
published
3.47
Stacey Word
published
3.45
Ruben Ruiz
published
3.43
Jeri Noveras
published
3.40
Monica Ravanello
published
3.33
Helen Dangtran
published 3.5
3.30
Sahra Pak
published
3.30
Elizabeth Tong
published 3.5
3.28
J Isabel Yanez
published 3.5
3.25
Timmy Tieu
published
3.23
Ronald Orellana
published
3.17
Hichem Bannour
published 3.5
3.16
Nancy Orellana
published
3.11
Linda Dangtran
published
3.02
Michael Acosta
published
2.88
Jeff Cowan
published
2.83
Iris Marquez
published 3
2.81
David Pak
published 3
2.73
Hilal Williams
published 3
Louis Lin
usually #1 Doubles 100% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Jeri Noveras + Monica Ravanello314 matchesnot enough data
J Isabel Yanez + Sahra Pak213 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

Mike Connerley
24W–11L career · 2 lines in 2025
3%95%3%
3.75
JoAnn Clark
14W–10L career · 1 line in 2025
25%75%<1%
3.59
Tracy Dennis
18W–4L career · no lines in 2025
<1%35%65%
3.55
Ravindra Kumar
8W–5L career · no lines in 2025
<1%58%42%
3.47
Stacey Word
5W–17L career · no lines in 2025
59%41%<1%
3.47
Ruben Ruiz
15W–2L career · no lines in 2025
<1%65%35%
3.45
Jeri Noveras
21W–7L career · no lines in 2025
<1%71%29%
3.43
Monica Ravanello
26W–25L career · no lines in 2025
<1%77%23%
3.40
3.5
Helen Dangtran
17W–2L career · no lines in 2025
1%90%10%
3.33
Sahra Pak
20W–7L career · no lines in 2025
1%93%6%
3.30
3.5
Elizabeth Tong
19W–9L career · no lines in 2025
1%93%6%
3.30
3.5
J Isabel Yanez
20W–6L career · no lines in 2025
2%94%5%
3.28
Timmy Tieu
21W–8L career · no lines in 2025
2%95%3%
3.25
Ronald Orellana
5W–10L career · no lines in 2025
4%94%2%
3.23
3.5
Hichem Bannour
9W–12L career · no lines in 2025
9%90%1%
3.17
Nancy Orellana
5W–9L career · no lines in 2025
11%89%<1%
3.16
Linda Dangtran
17W–4L career · no lines in 2025
<1%20%80%
3.11
Michael Acosta
26W–12L career · no lines in 2025
<1%44%56%
3.02
Jeff Cowan
2W–4L career · no lines in 2025
<1%83%17%
2.88
3
Iris Marquez
12W–11L career · no lines in 2025
1%90%9%
2.83
3
David Pak
10W–8L career · no lines in 2025
1%92%7%
2.81
3
Hilal Williams
13W–16L career · no lines in 2025
4%94%2%
2.73
Louis Lin
3W–1L career · 1 line in 2025
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.